| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods | Jan 15, 2020 | Second-order methodsVariational Inference | CodeCode Available | 0 |
| CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models | Jan 13, 2020 | ClusteringTopic Models | CodeCode Available | 0 |
| Lifted Hybrid Variational Inference | Jan 8, 2020 | Variational Inference | CodeCode Available | 0 |
| Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering | Jan 7, 2020 | ClusteringMissing Values | —Unverified | 0 |
| Scalable Gradients for Stochastic Differential Equations | Jan 5, 2020 | SensitivityVariational Inference | CodeCode Available | 2 |
| All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference | Jan 1, 2020 | AllScheduling | —Unverified | 0 |
| Variational Inference for Sequential Data with Future Likelihood Estimates | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| On Implicit Regularization in -VAEs | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
| Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
